Nomeroff-net

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**updates**
* Updated model and dataset for Ukrainian license plates for rare regions
* Remove TextPostprocessing module
* Update Dockerfiles

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**updates**
* Update ocr models
* Added support yolov8 models for numberpalte detection
* Update option classification models with efficientnet_v2_s backbone

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**updates**
* Load ocr params from modelhub configs
* From v3.3 Support multiple ocr cnn backbone
* Re-train all OCR models with shufflenet_v2_x2_0 backbone

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**updates**
* Added brand numberplate detection (examples/ju/inference/detect_brand_np.ipynb)
* Update auto number grab tools (examples/ju/dataset_tools/auto_number_grab.ipynb)
* Added fake numberplate detector (examples/ju/train/experimental/froud_numberplate_train.ipynb)

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**updates**
* Added support for finding 4 number points exclusively within the found bbox
* Sped up craft postprocessing by cpp bindings
* Re-train ocr-ua model
* Re-trained options model
* Returned to a separate backbone for ocr models
* Fixed bag with block_cnn in ocr models

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**updates**
* Refactored code with Sonarqube
* Added Pipelines
* Restructured code
* Added common backbone for ocr models